Exam Summaries

2019 Fall

Based on user feedback, the BattleCards corresponding to the 2019.Fall exam will NOT be loaded into the BattleActs database until after the 2020.Fall exam. This is to provide the opportunity for practice on a fresh exam prior to your real exam.

link	reference	reading/chapter	topic	type	Integrative Question?
E	(2019.Fall #1)	Couret.Venter	calculate: mean frequency estimates using two credibility procedures explain: relationship between one-dimensional and multi-dimensional credibility	calc 70% essay 30%	No
E	(2019.Fall #2)	Goldburd.Validation	calculate: loss ratio plot, describe: disadvantages of validation plots, recommend: which model to use	calc 25% essay 75%	No
E	(2019.Fall #3)	Bailey.Simon	calculate: experience modification factor describe: how credibility and experience rating work	calc 70% essay 30%	No
E	(2019.Fall #4)	Robertson.HazardGroups	justify: choice of distance measure, calculate: one iteration of weighted k-means algorithm	calc 50% essay 50%	No
E	(2019.Fall #5)	Goldburd.Basics Goldburd.Validation	explain: choice of link function calculate: sensitivity and specificity, ROC curve, describe: claim severity impacts threshold	calc 75% essay 25%	No
E	(2019.Fall #6)	Goldburd.Interactions	calculate: model frequency and intercept with interactions discuss: advantages of using base levels	calc 75% essay 25%	No
E	(2019.Fall #7)	Fisher.CaseStudy Fisher.ExpRating Fisher.RiskSharing Fisher.TableM	calculate: expected ground-up limited loss calculate: modified expected unlimited loss calculate: guaranteed cost premium calculate: expected loss in layer, discuss: appropriateness of assumptions	calc 90% essay 10%	Yes
E	(2019.Fall #8)	Bahnemann.Chapter6	calculate: ILFs and premium	calc 100%	No
E	(2019.Fall #9)	Fisher.ExpRating	describe: when to use experience rating	essay 100%	No
E	(2019.Fall #10)	Fisher.ExpRating	evaluate: experience modification rating plans using loss ratios and the efficiency test	essay 100%	No
E	(2019.Fall #11)	Fisher.ExpRating	calculate: experience mod, describe: experience rating improvement, evaluate: effectiveness of proposed improvement	calc 85% essay 15%	No
E	(2019.Fall #12)	Fisher.TableM Fisher.Visualization	discuss: appropriateness of proposed Table M calculate: insurance charges	calc 50% essay 50%	No
E	(2019.Fall #13)	Bahnemann.Chapter5	calculate: excess layer losses	calc 75% essay 25%	No
E	(2019.Fall #14)	Fisher.Visualization Fisher.LimitedTableM	calculate: basic premium evaluate: appropriateness of method	calc 50% essay 50%	No
E	(2019.Fall #15)	Bahnemann.Chapter5 Fisher.RiskSharing	calculate: basic premium from distribution, discuss: appropriateness of distribution	calc 85% essay 15%	No
E	(2019.Fall #16)	Fisher.LimitedTableM Fisher.OtherLSPlans	calculate: Build a Limited Table M discuss: alternate loss-sensitive plans	calc 50% essay 50%	No
E	(2019.Fall #17)	Clark.Reinsurance	calculate: technical ratio with sliding scale commission and carry-forward provision	calc 100%	No
E	(2019.Fall #18)	Clark.PropPerRisk Bernegger.Exposure	calculate: reinsurance excess layer loss cost using historical data and exposure curves, profit commission to premium ratio	calc 90% essay 10%	Yes
E	(2019.Fall #19)	Grossi.Curves	calculate: return period, identify: types of reinsurance, describe: reinsurance premium magnitudes	calc 30% essay 70%	No

2018 Fall

link	reference	reading/chapter	topic	type	Integrative Question?
E	(2018.Fall #1)	Mahler.Credibility Bahnemann.Chapter5 Clark.Reinsurance	calculate: Chi-square test and expected claim frequency calculate: profitability of reinsurance discuss: which reinsurance option is best	calc 80% essay 20%	Yes
E	(2018.Fall #2)	Bahnemann.Chapter5 Bahnemann.Chapter6	calculate: annual premiums under different deductibles calculate: profitability of reinsurance calculate: risk loaded ILFs	calc 90% essay 10%	Yes
E	(2018.Fall #3)	Bailey.Simon	calculate: number of claims and merit rating factor	calc 80% essay 20%	No
E	(2018.Fall #4)	ASOP.12	discuss: the use of a discount	essay 100%	No
E	(2018.Fall #5)	Goldburd.ModelSelection	discuss: model fit and alternate selections	essay 100%	No
E	(2018.Fall #6)	Goldburd.ModelRefinement	calculate: two statistical measures of model fit	calc 75% essay 25%	No
E	(2018.Fall #7)	Goldburd.Basics	calculate: offset and fitted probability discuss: use of logistic regression	calc 50% essay 50%	No
E	(2018.Fall #8)	Bahnemann.Chapter6	compare and contrast: use of risk loaded ILFs vs. varying profit and contingency provisions	essay 100%	No
E	(2018.Fall #9)	Fisher.ExpRating	calculate: apply the efficiency test, explain: how adverse selection may impact insurers	calc 75% essay 25%	No
E	(2018.Fall #10)	Fisher.CaseStudy Fisher.ExpRating	calculate: expected reported losses calculate: experience modification factor	calc 100%	No
E	(2018.Fall #11)	ISO.Rating	calculate: experience modification, discuss: schedule rating selection	calc 40% essay 60%	No
E	(2018.Fall #12)	Fisher.CaseStudy	calculate: total cost of each plan, discuss: recommend a plan and suggest improvements	calc 50% essay 50%	No
E	(2018.Fall #13)	Bahnemann.Chapter5	calculate: number of excess claims, calculate: inflationary pressure	calc 100%	No
E	(2018.Fall #14)	NCCI.RetroRating outdated Fisher.RiskSharing	calculate: ratio of basic to standard premium and net insurance charges discuss: using prior loss experience	calc 80% essay 10%	No
E	(2018.Fall #15)	Clark.Reinsurance	calculate: primary insurer's part of loss corridor	calc 100%	No
E	(2018.Fall #16)	Grossi.Curves	calculate: ceded and net Probable Maximum Loss, discuss: should the reinsurer offer the treaty?	calc 60% essay 40%	No
E	(2018.Fall #17)	Grossi.Overview Grossi.CATModels	discuss: catastrophe model modules describe: types of uncertainty and how it can be incorporated in a model	essay 100%	No